代码https: github.com yangze NTS Net Learning to Navigate for Fine grained Classification Abstract细粒度分类由于难以找到有区分度的特征而具有很大的挑战性。要找到这些微妙的特征来完全描述物体并不是一件简单的事。针对这种情况，我们提出了一种新的自我监督机制，在不需要限定bounding box part标注 ...
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Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches abstract 细粒度可视分类 ...
相关attention - 5 - GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond - 1 - 论文学习 Attention Convolutional Binary ...
Interpretable and Accurate Fine-grained Recognition via Region Grouping Abstract ...
参考代码 https://github.com/Yao-DD/S3N Selective Sparse Sampling for Fine-grained Image Recognition ...
在读的一篇文献中关于RDF的描述： As we know, RDF data is a set of triples with the form (subject, property, object). This fine-grainedmodel leads to SPARQL ...
Table of contents Introduction Survey papers Benchmark datasets Fine-grained image recognition Fine-grained recognition ...
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks Abstract ...
Destruction and Construction Learning for Fine-grained Image Recognition Intro 本文提出一种细粒度图像分类的方法，即将原图像拼图一样shuffle成不同的block，丢进一个分类器，当然，直接这样训练会引入 ...
